Pith Number

pith:FKDMI3QL

pith:2024:FKDMI3QL7IL2RRHL6PF6V635IK

not attested not anchored not stored refs pending

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models

Cheng Yang, Chufan Shi, Hanwen Wan, Hayato Yamana, Jing Chen, Junjie Wang, Tetsuya Sakai, Tian Feng, Xinyu Zhu, Yaxin Liu, Yujiu Yang, Yuxiang Zhang, Zihao Lin

arxiv:2406.20015 v2 · 2024-06-28 · cs.CL · cs.AI

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{FKDMI3QL7IL2RRHL6PF6V635IK}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Cited by

5 papers in Pith

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use

Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use

Receipt and verification

First computed	2026-07-05T09:15:34.504686Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2a86c46e0bfa17a8c4ebf3cbeafb7d428b6bcee441804a83256b723d86dafb04

Aliases

arxiv: 2406.20015 · arxiv_version: 2406.20015v2 · doi: 10.48550/arxiv.2406.20015 · pith_short_12: FKDMI3QL7IL2 · pith_short_16: FKDMI3QL7IL2RRHL · pith_short_8: FKDMI3QL

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FKDMI3QL7IL2RRHL6PF6V635IK \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2a86c46e0bfa17a8c4ebf3cbeafb7d428b6bcee441804a83256b723d86dafb04

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a4056fd9bd3939be6462a1ea31cc57e0bf91152a9dd7e991faa04f61136db3bc",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2024-06-28T16:03:30Z",
    "title_canon_sha256": "ae0c461e4733af3e490e00e6f7e533b80a0ca71ca221946a262a59a99735fb72"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.20015",
    "kind": "arxiv",
    "version": 2
  }
}